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Consider a fading Gaussian MIMO channel with $N_\mathrm{t}$ transmit and $N_\mathrm{r}$ receive antennas. The transmitter selects $L_\mathrm{t}$ antennas corresponding to the strongest channels. For this setup, we study the distribution of…

信息论 · 计算机科学 2017-04-28 Saba Asaad , Ali Bereyhi , Ralf R. Müller , Amir M. Rabiei

The use of multi-antenna arrays in both transmission and reception has been shown to dramatically increase the throughput of wireless communication systems. As a result there has been considerable interest in characterizing the ergodic…

信息论 · 计算机科学 2007-07-16 Aris L. Moustakas , Steven H. Simon

MIMO processing techniques in fiber optical communications have been proposed as a promising approach to meet increasing demand for information throughput. In this context, the multiple channels correspond to the multiple modes and/or…

信息论 · 计算机科学 2013-12-03 Apostolos Karadimitrakis , Aris L. Moustakas , Pierpaolo Vivo

This paper considers the distribution of the mutual information of frequency-selective spatially-uncorrelated Rayleigh fading MIMO channels. Results are presented for OFDM-based spatial multiplexing. New exact closed-form expressions are…

信息论 · 计算机科学 2016-11-17 Matthew R. McKay , Peter J. Smith , Himal A. Suraweera , Iain B. Collings

This paper adresses the behaviour of the mutual information of correlated MIMO Rayleigh channels when the numbers of transmit and receive antennas converge to infinity at the same rate. Using a new and simple approach based on…

信息论 · 计算机科学 2007-07-13 Walid Hachem , Oleksiy Khorunzhiy , Philippe Loubaton , Jamal Najim , Leonid Pastur

We apply a promising new method from the field of representations of Lie groups to calculate integrals over unitary groups, which are important for multi-antenna communications. To demonstrate the power and simplicity of this technique, we…

信息论 · 计算机科学 2016-08-31 Steven H. Simon , Aris L. Moustakas , Luca Marinelli

We propose the exact calculation of the probability density function (PDF) and cumulative distribution function (CDF) of mutual information (MI) for a two-user MIMO MAC network over block Rayleigh fading channels. So far the PDF and CDF…

信息论 · 计算机科学 2018-03-13 Gabriel Pivaro , Santosh Kumar , Gustavo Fraidenraich

Linear receivers offer a low complexity option for multi-antenna communication systems. Therefore, understanding the outage behavior of the corresponding SINR is important in a fading mobile environment. In this paper we introduce a large…

信息论 · 计算机科学 2012-09-17 Aris L. Moustakas , Pavlos Kazakopoulos

Precise characterization of the mutual information of MIMO systems is required to assess the throughput of wireless communication channels in the presence of Rician fading and spatial correlation. Here, we present an asymptotic approach…

信息论 · 计算机科学 2016-11-17 Giorgio Taricco

This paper builds upon our recent work which computed the moment generating function of the MIMO mutual information exactly in terms of a Painlev\'{e} V differential equation. By exploiting this key analytical tool, we provide an in-depth…

信息论 · 计算机科学 2016-01-26 Shang Li , Matthew R. McKay , Yang Chen

Outage probability and capacity of a class of block-fading MIMO channels are considered with partial channel distribution information. Specifically, the channel or its distribution are not known but the latter is known to belong to a class…

信息论 · 计算机科学 2015-03-18 Ioanna Ioannou , Charalambos D. Charalambous , Sergey Loyka

The asymptotic mutual information (MI) analysis for multiple-input multiple-output (MIMO) systems over double-scattering channels has achieved engaging results, but the convergence rates of the mean, variance, and the distribution of the MI…

信息论 · 计算机科学 2023-01-18 Xin Zhang , Shenghui Song

We consider a Gaussian MISO wiretap channel, where a multi-antenna source communicates with a single-antenna destination in the presence of a single-antenna eavesdropper. The communication is assisted by multi-antenna helpers that act as…

信息论 · 计算机科学 2012-09-20 Shuangyu Luo , Jiangyuan Li , Athina Petropulu

In this paper, the outage probability and outage-based beam design for multiple-input multiple-output (MIMO) interference channels are considered. First, closed-form expressions for the outage probability in MIMO interference channels are…

信息论 · 计算机科学 2016-11-17 Juho Park , Youngchul Sung , Donggun Kim , H. Vincent Poor

An information measure based on fractional partitions of a set is used to derive a general dependence balance inequality for communication. This inequality is used to obtain new upper bounds on reliable and secret rates for multiterminal…

信息论 · 计算机科学 2026-04-14 Amin Gohari , Gerhard Kramer

In this correspondence the cumulants of the mutual information of the flat Rayleigh fading amplify-and-forward MIMO relay channel without direct link between source and destination are derived in the large array limit. The analysis is based…

信息论 · 计算机科学 2007-07-13 Joerg Wagner , Boris Rankov , Armin Wittneben

The capacity of a deterministic multiple-input multiple-output (MIMO) channel under the peak and average power constraints is investigated. For the identity channel matrix, the approach of Shamai et al. is generalized to the higher…

信息论 · 计算机科学 2016-09-29 Borzoo Rassouli , Bruno Clerckx

We consider the massive Multiple Input Multiple Output (MIMO) diversity channel affected by independent and identically distributed Rayleigh fading, with linear processing at both transmitter and receiver sides, and analyze the outage…

信息论 · 计算机科学 2023-02-08 Marco Martalo , Riccardo Raheli

We consider the information fiber optical channel modeled by the nonlinear Schrodinger equation with additive Gaussian noise. Using path-integral approach and perturbation theory for the small dimensionless parameter of the second…

信息论 · 计算机科学 2023-08-03 A. V. Reznichenko , V. O. Guba

The mutual information (MI) of Gaussian multi-input multi-output (MIMO) channels has been evaluated by utilizing random matrix theory (RMT) and shown to asymptotically follow Gaussian distribution, where the ergodic mutual information (EMI)…

信息论 · 计算机科学 2021-12-30 Xin Zhang , S. H. Song
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